Estimating Community Feedback Effect on Topic Choice in Social Media

EasyChair Preprint 6122

Abstract

Using an interpretable semistructured model and rich temporal data from Twitter and Reddit, we measure how the amount of community feedback (comments, retweets, etc.) to social media user's posts influences their decision to continue the topic of their previous post, while controlling for the confounding effect of external events.

Keyphrases: community feedback, model, social influence, social media, topic continuation, treatment effect

@booklet{EasyChair:6122,
  author    = {David I. Adelani and Ryota Kobayashi and Ingmar Weber and Przemyslaw A. Grabowicz},
  title     = {Estimating Community Feedback Effect on Topic Choice in Social Media},
  howpublished = {EasyChair Preprint 6122},
  year      = {EasyChair, 2021}}